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Published January 1, 2002 | Published
Journal Article Open

Skin lesion classification using oblique-incidence diffuse reflectance spectroscopic imaging


We discuss the use of a noninvasive in vivo optical technique, diffuse reflectance spectroscopic imaging with oblique incidence, to distinguish between benign and cancer-prone skin lesions. Various image features were examined to classify the images from lesions into benign and cancerous categories. Two groups of lesions were processed separately: Group 1 includes keratoses, warts versus carcinomas; and group 2 includes common nevi versus dysplastic nevi. A region search algorithm was developed to extract both one- and two-dimensional spectral information. A bootstrap-based Bayes classifier was used for classification. A computer-assisted tool was then devised to act as an electronic second opinion to the dermatologist. Our approach generated only one false-positive misclassification out of 23 cases collected for group 1 and two misclassifications out of 34 cases collected for group 2 under the worst estimation condition.

Additional Information

© 2002 Optical Society of America. Received 20 October 2000; revised manuscript received 7 May 2001. This research has been supported by the Texas A&M University Interdisciplinary Research Initiative and by a grant from the U.S. Department of Education. Institutional Review Board (IRB) approval was obtained for collecting skin images from patients at the University of Texas MD Anderson Cancer Center, Houston, Texas (IRB TAMU 2000-207). We thank the patients for their participation in this research.

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